RiskMap: Geo-Statistical Modeling of Spatially Referenced Data
Provides functions for geo-statistical analysis of both continuous and count data using maximum likelihood methods. The models implemented in the package use stationary Gaussian processes with Matern correlation function to carry out spatial prediction in a geographical area of interest. The underpinning theory of the methods implemented in the package are found in Diggle and Giorgi (2019, ISBN: 978-1-138-06102-7).
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | sf, stats, methods, ggplot2, Matrix, maxLik, terra, xtable |
| Published: | 2024-06-25 |
| DOI: | 10.32614/CRAN.package.RiskMap |
| Author: | Emanuele Giorgi 
[aut, cre],
Claudio Fronterre
[ctb] |
| Maintainer: | Emanuele Giorgi <e.giorgi at lancaster.ac.uk> |
| License: | MIT + file LICENSE |
| URL: | https://claudiofronterre.github.io/RiskMap/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | RiskMap results |
Documentation:
| Reference manual: | RiskMap.pdf |
Downloads:
| Package source: | RiskMap_0.1.0.tar.gz |
| Windows binaries: | r-devel: RiskMap_0.1.0.zip, r-release: RiskMap_0.1.0.zip, r-oldrel: RiskMap_0.1.0.zip |
| macOS binaries: | r-release (arm64): RiskMap_0.1.0.tgz, r-oldrel (arm64): RiskMap_0.1.0.tgz, r-release (x86_64): RiskMap_0.1.0.tgz, r-oldrel (x86_64): RiskMap_0.1.0.tgz |
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